This document explains web scraping using Python, covering HTTP requests, HTML parsing, data extraction, and best practices with requests, BeautifulSoup, and pandas.
This document explains how to analyze, filter, and save data using Pandas focusing on finding unique values, filtering rows by conditions, and exporting results to CSV and other formats.
This document introduces the Pandas library for data analysis, covering its import, usage for reading files, creating DataFrames, and accessing data efficiently. Key concepts include working with CSV and Excel files, DataFrame operations, and indexing methods.
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